Nikki Festa O'Brien

In one post, they summarize Wolters Kluwer Health's Future Ready Healthcare survey: nearly 60% of patients say their clinicians openly engage with AI-generated information during appointments, while only 27% of clinicians are aware of formal AI governance policies where they work.

• They quote Wolters Kluwer CMO Peter Bonis describing a state of 'epistemic fluidity,' then argue that adoption is well ahead of governance and health systems should focus on closing the gap.
• In another post, they cover Wolters Kluwer's UpToDate integration into Epic's Art assistant, noting that the content draws on 7,600 expert clinicians and more than 50 in-house physician editors.
• They quote Yaw Fellin on hospitals building agents that can call on the same source, and write that 'Trust in clinical AI won't come from the model itself but from what the model stands on.'

Read original · Original 2

At the Healthcare Operations Summit in Chicago, they describe a room of 108 health system leaders representing 2,313 hospitals and $477 billion in revenue.

• Asked how many of their operational technologies were simple because of IT, every hand went up.
• Asked whether their work and lives were simpler, the room went silent.
• They cite nurse managers at Advocate Health spending six hours a day on scheduling and staffing, UPMC running 23,000 Epic work queues that each need a human to move data, and health systems running between 100 and 250 operational applications.
• They quote Dr.
• April Taylor of Johns Hopkins — 'This is not just a technology problem.
• It really is a challenge with our operating model' — and Dr.
• Rob Bart of UPMC — 'The AI-enabled clinician will outcompete and outperform the AI-naive clinician every single day.' They close with a frame they attribute to their firm's AI charter: the future will be AI-powered but must be human-led.

Read original

At IGEL's NowAndNext event, they quote Gen.

• Paul Nakasone, former director of the NSA and commander of U.S.
• Cyber Command: 'Engineer resilience before a crisis — you reveal it during a crisis.' They also quote Forrester's Carlos Rivera calling zero trust 'not just a framework, it's an ethos,' and Daryl Haegley of the Department of the Air Force noting that only one of 76 DoD cyber roles is dedicated to operational technology cybersecurity.
• In a separate post, they cover a CIO Online demo showing how to bypass an unavailable Windows endpoint so users can reach email and Microsoft 365 in minutes while IT investigates.
• A third post covers Menlo Security's new CEO Bill Robbins on securing AI agents at runtime, noting that much enterprise data still lives outside APIs and agents will reach it through the browser.

Read original · Original 2 · Original 3

Covering the Strait of Hormuz disruption, they use Interos data to show that about 30% of S&P 500 companies have tier-1 suppliers in the region, while tier-2 and tier-3 exposure concentrates in chemical manufacturing, plastics and rubber, and freight transportation. They quote Interos CEO Theodore Krantz Jr. telling Inc. that we may be seeing early signs that 'the weaponization of global supply chains has begun.' In a companion post on Asia's energy crisis, they write that fertilizer, air travel, shipping, and utility costs are 'all supply chain problems that just happen to be wearing an oil price tag.'

Read original · Original 2

Because these posts rely on the client's own executives and data, ask how the client reviews or approves the framing.

In posts on Xometry, they explain how the company's AI-native marketplace connects companies needing custom parts — from satellite components to medical devices — with hundreds of thousands of small U.S. manufacturers.

• They quote CEO Randy Altschuler on Mad Money saying that 40-50% of American manufacturing capacity sits idle at any moment, and note that Xometry's Siemens partnership embeds it in software used by millions of engineers.
• They also cover Jim Cramer calling the company 'growing like a weed,' a Cheddar appearance, and the board appointment of Lukas Biewald, co-founder of Weights & Biases and now SVP of AI Initiatives at CoreWeave.
• They connect his AI infrastructure depth to autonomous quoting and agentic procurement.

Read original · Original 2

On Soitec, they follow a Reuters story below the chip to the substrate beneath silicon photonics, where UBS puts Soitec's share at 95%, and explain that copper links are hitting power and performance limits at the distances hyperscalers need.

• They write: 'I spend a lot of time with companies four layers down a supply chain, doing work that is hard to explain and easy to overlook...
• That is my favorite part of this job.' On GlobalFoundries' quantum manufacturing business, backed by a $375 million CHIPS grant, they note that manufacturing, not the vision, held quantum back, and quote Nicholas Sergeant: 'A million-qubit system can't be built in a lab.' On LineVision's Series D, they explain that transmission lines are rated using static weather assumptions set decades ago, so operators run them below what the wire can carry.
• They cite National Grid's report of more than £20 million in customer savings and enough added capacity to serve over 500,000 homes.

Read original · Original 2 · Original 3

In a first-person post about the first anniversary of Women Applying AI, they tell three stories: Nicole Collins building Bea AI to help women manage paperwork and decisions after a loss; Elisa Friedman spending 20 years at Harvard Business Publishing, volunteering in 2023 for an AI chatbot project no one else wanted, and now teaching the community tools like Lovable; and Jenn Azar, CEO of Stellix, describing mixed engineer reception to an autonomous inspection robot she brought into her own company.

• Azar says she had not explained why it mattered or how people would build the skills to work with it.
• They close with the observation: 'All of them took risks, and none of them waited until they felt qualified.'

Read original

In a monthly newsletter post, they describe being named Boston agency of record for the Public Relations Global Network and co-chairing its digitalization task force; publishing a piece on life sciences trends from the J.P.

• Morgan Healthcare Conference; producing a persona-driven video series for TraceLink; and running a national survey of more than 200 pharmacy supply chain leaders for Tecsys, alongside an exclusive with Healthcare Brew and an always-on thought leadership program.
• A separate Xometry post combines a Mad Money mention, a Cheddar appearance, and a board announcement in one narrative.

Read original · Original 2

This is their signature move: sit in the room, catch the telling moment, and support a thesis with named speakers and numbers.

A recap of the 4th Annual Healthcare Operations Summit in Chicago, built around a moment in the room: when 108 health system leaders — representing 2,313 hospitals and $477 billion in revenue — were asked how much of their operational technology today is simple because of IT, every hand went up; asked how many would say their work and lives are simpler, the room went silent.

• They ground the point in named examples: nurse managers at Advocate Health spending six hours a day on scheduling and staffing, UPMC running 23,000 Epic work queues that each need a human to move data, and the average health system running 100 to 250 operational applications.
• They quote Johns Hopkins' Dr.
• April Taylor ("This is not just a technology problem.
• It really is a challenge with our operating model") and UPMC's Dr.
• Rob Bart ("The AI-enabled clinician will outcompete and outperform the AI-naive clinician every single day").
• The closing frame — the future will be AI-powered but must be human-led — comes from the firm's own AI charter.

For brands planning a campaign

Named quotes and hard numbers give a healthcare technology vendor ready-made material for a co-authored article or event appearance. The "AI-powered, human-led" line is a usable thesis to build a piece around.

They cover Fierce Healthcare's report that Wolters Kluwer Health's UpToDate is now integrated into Art, Epic's clinician-facing AI assistant, with more integrations coming through Epic's Agent Factory.

• They explain what sits behind UpToDate — 7,600 expert clinicians and more than 50 in-house physician editors keeping the content current — and argue that this review standard is exactly what an AI assistant needs underneath it if a clinician is going to act on what it says.
• They quote Yaw Fellin on hospitals building and customizing their own agents that can call on the same source.
• Their line: "Trust in clinical AI won't come from the model itself but from what the model stands on."

For brands planning a campaign

A model for turning a product announcement into an argument about clinical AI trust — useful for a vendor whose credibility rests on content quality rather than the model itself.

A summary of a Newsweek Access Health newsletter.

• WellSpan Health's Roxanna Gapstur describes a seven-year alliance with Philips to build AI into how the system delivers care.
• Wolters Kluwer's Future Ready Healthcare survey shows the other half: nearly 60% of patients say their clinicians openly engage with AI-generated information during appointments, while only 27% of clinicians are aware of formal AI governance policies where they work.
• They quote CMO Peter Bonis calling the result a state of "epistemic fluidity," where the visit itself becomes a place to sort out what is true.
• Their conclusion: adoption is well ahead of governance, and closing that gap should be the focus for health systems.

For brands planning a campaign

The adoption-versus-governance framing and survey numbers are directly reusable in a co-authored piece on clinical AI adoption.

A recap of IGEL Technology's NowAndNext event on cybersecurity, AI, and resilient endpoints.

• They quote Gen.
• Paul Nakasone, former director of the NSA and commander of U.S.
• Cyber Command: "Engineer resilience before a crisis — you reveal it during a crisis."
• Forrester's Carlos Rivera supplies the second frame — "Zero Trust is not just a framework, it's an ethos" — as agentic AI becomes a real threat.
• They include a sobering stat from Daryl Haegley of the Department of the Air Force: out of 76 DoD cyber roles, only one is dedicated to operational technology cybersecurity.
• Michele Iversen of the Chertoff Group adds the decision-making point: "the enemy of perfect is 'good enough' — you have to make decisions with ambiguity in real time."
• They note IGEL's own announcements of AI Armor and ARM device support.

For brands planning a campaign

A template for an event-recap thought-leadership piece; the resilience quotes and OT cybersecurity stat support a resilience-themed campaign or panel.

Recounts Boston AI Week and the first anniversary of Women Applying AI, a community they credit Luda Kopeikina and Pam Boiros with building.

• Three stories carry the piece: Nicole Collins channeled personal experience into Bea AI, a guide that helps women manage the paperwork and decisions that come with loss; Elisa Friedman spent 20 years at Harvard Business Publishing, volunteered in 2023 for an AI chatbot project no one else wanted, and now teaches the community tools like Lovable; and Jenn Azar, CEO of Stellix, describes mixed engineer reception to an autonomous inspection robot she brought into her own company, saying she hadn't explained why it mattered or how people would build the skills to work with it.
• Their takeaway: "All of them took risks, and none of them waited until they felt qualified."

For brands planning a campaign

Shows their human-stories register and community ties; useful when a campaign calls for a people-first angle rather than a product one.

They follow a Reuters story a layer below the chip, to the substrate beneath silicon photonics, where client Soitec supplies almost the entire market — UBS puts its share at 95%.

• They explain why it matters: silicon photonics is how data moves optically inside an AI data center, and it is growing because copper links are hitting power and performance limits at the speeds hyperscalers need.
• Their line on the work: "I spend a lot of time with companies four layers down a supply chain, doing work that is hard to explain and easy to overlook...
• That is my favorite part of this job."

For brands planning a campaign

A direct statement of the kind of company they like to work with — useful for judging fit with a deep-tech or infrastructure client.

In a single week, Xometry and CEO Randy Altschuler featured Jim Cramer calling the company "growing like a weed" on Mad Money's Lightning Round, Altschuler appearing on Cheddar, and the appointment of Lukas Biewald to the board.

• The posts explain that Biewald co-founded Weights & Biases, the AI developer platform used by more than a million engineers, and is now SVP of AI Initiatives at CoreWeave.
• They link his AI infrastructure experience to capabilities like autonomous quoting and agentic procurement.
• The closing line: "Manufacturing is having its infrastructure moment, and all eyes are on this brand."

For brands planning a campaign

An example of stacking several media hits into one narrative; relevant to a manufacturing or AI-infrastructure client seeking momentum coverage.

In one post, they pull key figures from Wolters Kluwer Health's Future Ready Healthcare survey: nearly 60% of patients say their clinicians openly engage with AI-generated information during appointments, while only 27% of clinicians know of formal AI governance policies where they work.

• In another, they cover Wolters Kluwer's UpToDate being built into Epic's clinician-facing assistant Art through Agent Factory, quoting Yaw Fellin on why an evidence base matters when hospitals build their own agents.
• The recurring argument: trust in clinical AI comes from what sits beneath the model — expert review and current content — not from the model itself.

The posts pair a third-party news item or survey with a pointed closing line that states the takeaway for health system leaders.

For brands planning a campaign

For a healthcare technology brand building thought leadership on clinical AI, this is directly usable. A co-authored piece could start with a named survey figure and a health-system example, as these posts do, rather than a general claim about AI in medicine.

Examples: Source 1 · Source 2 · Source 3

Nikki Festa O'Brien quotes Dr.

• April Taylor of Johns Hopkins — "This is not just a technology problem.
• It really is a challenge with our operating model" — and Dr.
• Rob Bart of UPMC on the AI-enabled clinician outperforming the AI-naive one.
• The argument: tool sprawl, not tool shortage, is the health system problem, and adoption has to be human-led.

An event recap built on attributed speaker quotes and memorable operational statistics, closed with a firm-level principle such as AI-powered but human-led.

For brands planning a campaign

For a conference-adjacent brief, propose a named event, audience-scale figures, attributed speaker quotes, and operational statistics that make the abstract problem concrete. A brand with a presence at a health IT event could supply the setting for this structure.

Examples: Source 1

One recaps IGEL's NowAndNext event, quoting General Paul Nakasone — "Engineer resilience before a crisis — you reveal it during a crisis" — alongside Forrester's Carlos Rivera on zero trust as an ethos and a sobering statistic from the Department of the Air Force: only one of 76 DoD cyber roles is dedicated to operational technology.

• A second covers a CIO Online demo showing how to bypass an unavailable Windows endpoint so users can reach email and Microsoft 365 in minutes while IT investigates.
• A third covers Menlo Security's new CEO Bill Robbins on securing AI agents at runtime, noting that much enterprise data still lives outside APIs and agents will reach it through the browser.

Each post names the vendor and an executive or analyst, quotes them once, then restates the idea in plain operational terms: what breaks, what the recovery path is, and what to plan for next year.

For brands planning a campaign

For a security brand, the value is translation: turning vendor positioning about resilience, endpoint recovery, or agentic AI risk into a frame a non-specialist buyer can act on. A co-authored article on agent runtime or endpoint continuity would fit the material these posts handle.

Examples: Source 1 · Source 2 · Source 3

Covering the Strait of Hormuz disruption, Nikki Festa O'Brien uses Interos data to show that about 30% of S&P 500 companies have tier-1 suppliers in the region, while deeper tier-2 and tier-3 exposure concentrates in chemicals, plastics and rubber, and freight — industries that underpin everything else.

• A companion post on Asia's energy crisis argues that fertilizer, air travel, shipping, and utility costs are all supply chain problems wearing an oil price tag.
• Two posts on Xometry cover its AI-native manufacturing marketplace, the point that 40-50% of American manufacturing capacity sits idle at any moment, a Siemens partnership that embeds the company in engineering software, and the appointment of Weights & Biases co-founder Lukas Biewald to its board.

The posts often redirect attention: most coverage ends at the chip, focuses on oil prices, or asks whether to reshore. These posts supply the missing layer.

Two posts draw on a client's own data and executive interviews, aligning the analytical frame with the client's commercial interest. A brand brief should account for that overlap rather than treat the framing as neutral.

For brands planning a campaign

This is the strongest fit for a supply chain visibility or industrial marketplace brief. The through-line is supplier-network depth and idle-capacity matching, supported by named executives and third-party data.

Examples: Source 1 · Source 2 · Source 3 · Source 4

One covers Soitec's near-total share of the substrate beneath silicon photonics, explaining that copper links are hitting power and performance limits at the distances hyperscalers need.

• The post also notes the writer's preference for companies four layers down a supply chain, doing work that is hard to explain and easy to overlook.
• Another covers GlobalFoundries launching a dedicated quantum manufacturing business backed by a $375 million CHIPS grant, with the observation that what held quantum back was never the vision but manufacturing.
• A third covers LineVision's Series D, explaining that transmission lines are rated using static weather assumptions set decades ago, so operators run them below what the wire can carry.
• It cites National Grid's report of more than £20 million in customer savings and enough added capacity for over 500,000 homes.

Mechanism before company. The post states the constraint in plain language — static weather ratings, copper link limits, lab-versus-fab — before introducing the business.

For brands planning a campaign

For a deep tech, semiconductor, energy, or grid infrastructure brand, these posts show a repeatable approach: explain the physics or manufacturing constraint first, then show why the company matters. That structure suits a co-authored technical explainer.

Examples: Source 1 · Source 2 · Source 3

The closing observation: all of them took risks and none waited until they felt qualified.

This personal, community-facing post differs from the client news elsewhere in the material. For a commercial program brief, ask for a relevant client example.

For brands planning a campaign

This is the piece to point to for an employer-brand, community-partnership, or workforce-adoption brief. It shows Nikki Festa O'Brien writing about adoption culture from inside a room rather than through a vendor announcement.

Examples: Source 1

Morgan Healthcare Conference, producing a persona-driven video series for TraceLink, and conducting a national survey of more than 200 pharmacy supply chain leaders for Tecsys, followed by an exclusive placement and an ongoing thought leadership program. A separate Xometry post combines a media mention, a broadcast appearance and a board announcement in one narrative.

For brands planning a campaign

Useful for brands seeking a sustained program rather than a single article. The material shows how a survey, exclusive placement and follow-on coverage can turn one data set into an ongoing story.

Examples: Source 1 · Source 2

View example

View example

View example

Omar's post on prior authorization covers similar ground to Nikki Festa O'Brien's post on health-system operations: the cost and morale problems are linked, and the fastest return comes from taking administrative work off the people you cannot afford to lose.

Omar argues in a first-person analytical voice that revenue-generating AI comes first, followed by AI that saves society. Festa O'Brien reports on events, vendors, and third-party surveys, attributes the argument to named speakers, and closes with a takeaway for clients or health systems rather than peer operators.

Read original · Original 2

Hirsch writes about clinicians' emotional burdens and the disconnect that can look like ordinary functioning. Festa O'Brien covers similar ground, arguing that adoption must be human-led and that leaders must explain why a new tool matters and how people will build skills to use it.

Hirsch writes directly to physicians about burnout, purpose, and coaching, offering a way to reshape a career rather than leave it. Festa O'Brien addresses a technology and communications audience, using vendors, events, and surveys to explore governance, resilience, and adoption.

Read original · Original 2

Brenda S.'s account of leading care experience, onboarding transformation, and workforce engagement reaches the same conclusion Festa O'Brien draws from the Stellix robot story: engineers felt exposed because no one had explained the change.

Brenda S. writes from inside a health system about her leadership journey, workforce wellbeing, and the value of small peer rooms.

• Festa O'Brien writes as an outside commentator on vendors, events, and client milestones.
• Their vantage points differ, even when their conclusions overlap.

Read original · Original 2

Her posts offer first-person accounts of leading at Kaiser Permanente Care at Home across Southern California and Hawaii — covering workforce experience, onboarding transformation, executive storytelling, and operational strategy — and of building small, intimate leadership dinners for healthcare leaders in San Diego.

• For a co-authored piece or panel on how adoption lands on staff and patients, and how leaders guide people through change, she brings an inside view.
• Her line that transformation happens at the intersection of people, experience, strategy, storytelling, and operations gives a campaign about clinical-AI adoption grounded operator framing.

The tradeoff is that O'Brien writes personal leadership narratives, not market or technology commentary.

• The posts include no survey data, named-client examples, or vendor-side thought-leadership cadence.
• As an operator at a payer-provider, O'Brien would need to account for their employer's position and any conflict before scoping a vendor-branded co-authored program.
• The two posts focus on O'Brien's career and a dinner, a narrower range than the vendor's campaign assumes.

Examples: Source 1 · Source 2

His posts do the math: clinical staff spending 7 to 14 days on each prior authorization, prior auth as a leading reason doctors leave, a burned-out physician costing roughly $500K to replace, and a Sully.ai employee running about $2 an hour against $41 for the admin doing the work today.

• He also draws the distinction at the heart of the vendor's campaign: hospitals adopt AI that makes them more money, while AI that saves society money is a different product.
• For a co-authored article or panel built on adoption economics, cost-per-task figures, and a candid revenue-versus-society frame, he presents the argument in quotable form.

The tradeoff is narrowness.

• His posts focus on healthcare AI adoption economics and administrative burden — prior auth, denials, turnover, and margin — with no cybersecurity, supply chain, clinical governance, or event-recap range.
• His voice advocates for one company's product, making a co-authored program more product-forward than neutral thought leadership.
• The posts also don't show the room-read or timely conference recaps the campaign seeks.

Examples: Source 1 · Source 2

Hirsch when the need centers on the human side of adoption — clinician wellbeing, burnout, and the emotional cost behind any resilience claim.

• Her posts speak directly to physicians: clinicians are trained in patient care but rarely in processing chronic pressure, grief, conflict, and difficult outcomes; burnout can look like functioning professionally while feeling disconnected; and mid-career physicians can reshape their purpose rather than leave medicine.
• If the vendor's angle is that clinical AI must stay human-led, she brings the authority of a practicing physician and coach to a piece on why staff wellbeing is part of resilience.

The tradeoff is that her focus is individual clinician sustainability and coaching, not health-system operations, technology governance, or how AI is bought and deployed.

• The posts include no market figures, vendor examples, or operational statistics.
• She writes to physicians as a coach; a buyer-facing campaign that needs system-level decision-maker language would need a different primary voice.
• Ask for a sample or discussion to assess whether her range fits the campaign.

Examples: Source 1 · Source 2